Careers in Data Science
Data Science - the new silver bullet in retail?
16 March 2023
How is data science is helping retail business to create new revenue channels, improve efficiency, reduce working capital, become cybersecure, increase customer loyalty and accelerate sustainability?
Machine vision, structures/ unstructured data and hyper automation using ML, supervised/ unsupervised learning models and hyper personalisation are transforming retail. In this interactive lecture, Sunil Ramakrishnan will discuss real life examples of how data science has become a critical strategy at retailers like Amazon, Alibaba, Netflix, Disney, Nestle, Co-op, ZARA, OpenSea etc. Sunil will discuss the failures and successes in this path, learnings and the value being realised.
Sunil argues that data science is now the new silver bullet for companies in their defensive strategies where an incumbent is fighting new competition to lead as well in new offensive strategies where a new disrupter is creating a new blue ocean and taking away customers from lazy incumbents.
Speaker: Sunil Ramakrishnan, Data Science leader and Vice President for Consulting, CGI
Careers in Data Science
From Tokyo 2021 to the future of AI: my journey as a data scientist
16 February 2023
How does your disciplinary background impact where your career ends up? The answer is - it is up to you!
As a computer scientist with a humanities background, Priyanka Suresh has negotiated the data and tech sector in a range of interesting roles, including five years as a Data Scientist at Google. This gives her experience in a wide range of applied topics within different backgrounds.
At this event, Priyanka will offer students invaluable insights on the day to day applications of data science gained from her involvement in data projects including the urban planning of travellers for the Tokyo 2021 Olympics. Priyanka will also offer thoughts on broader real world applications of AI and its impact in areas such as climate change.
Speaker: Priyanka Suresh, Applied Business Analyst, Deepmind
Essential skills for a career in data
2 February 2023, 13:30 - 14:30
Graham Wallas Room, Old Building
As part of the LSE Careers ‘Discover Data’ week, the DSI is holding an information session to signpost students to the skills they need to thrive in a data science career.
This session will provide an overview of a range of different careers that are emerging in this sector that is becoming increasingly interesting to LSE students. As students prepare for the jobs market, this event will signpost the resources available to develop the skills required to pursue different careers in data science, such as the LSE Digital Skills Lab.
Following a 30-minute presentation from DSI Director Professor Ken Benoit on the tools that need to be mastered within these different common career paths, such as GitHub, R, and Python, students will be able to ask questions on the topic.
Discover Data Programme: Data Science Careers Panel
31 January 2023, 18:30 - 20:00
Old Theatre, Old Building
This panel, co-organised by LSE Careers and the LSE Data Science Institute is designed to support you to develop your knowledge of career options in Data Science. It brings together LSE alumni from across a range of roles and organisations in data science to discuss their careers, the opportunities available, and the challenges they've met.
Each panel member will speak for a short time about aspects of their career and the day-to-day realities of working in this sector. You’ll then have the opportunity to ask questions during the Q&A.
Panellists include:
The panel will be chaired by Antonio Cordella, Programme Director of the MSc Management of Information Systems and Digital Information.
This event will be particularly useful if you:
- are thinking of a career in data science
- are curious about the sort of work and responsibilities jobs in this area can entail
- would like to hear about the specific skills required in the sector.
Attending this event will enable you to:
- describe the key functions and the day-to-day work of the panellists in this broad career area
- evaluate some of the realities of careers in this sector
- state strategies to get started in similar lines of work, based on the alumni insights.
Industry Talks: Spatial Data Science
Julia Wagemann - Women+ in Geospatial
25 January 2023, 17:30 (Via Zoom)
Julia Wagemann is a data scientist, PhD candidate and community-builder who promotes the use of open Earth data to better tackle climate, environmental and societal challenges. Her work is in the intersection between data providers and users of Earth data, resulting in a strong ability to translate user needs into a compelling vision for user support, training services and business development. As an independent consultant, she has worked together with a range of leading companies and intergovernmental organisations to develop training on Earth data, programming and emerging technologies.
Data Science Careers Networking Event
31 January 2023, 20:00 - 21:00
Old Theatre, Old Building
Following the panel event a networking session will take place. This informal session is open to all students that attended the panel event. Students will have the chance to further explore some of the themes that arose in the Q&A over refreshments.
This is the perfect opportunity to ask questions about the day-to-day realities of working in this sector to those with first hand knowledge.
Industry Talks: Spatial Data Science
Markela Zeneli and James Brennan - Climate X
7 December 2022, 17:30 - 18:30
Markela Zeneli is a Data Science MSc student from Goldsmiths College. At Climate X, she is a Data Science Junior Associate who is looking at the financial cost of climate change. This involves research into the environmental and social mechanisms that accelerate and differentiate human impacts.
James Brennan is the Remote Sensing and Data Science Lead at Climate X. He brings years of experience with applying remote sensing and data science to help solve key environmental challenges. During his PhD he worked with the European Space Agency on developing key climate data sets used to predict future carbon emissions.
Climate X is a global climate risk data and analytics provider. They help firms analyse the impact of extreme weather events linked to climate change. They deliver location-specific risk ratings, EPC ratings for transition risk and climate-adjusted loss estimates between now and 2100 under multiple climate emission pathways.
Organised by Dr Elisabetta Pietrostefani
Three-week Mastercourse – Data-Driven Management & Digital Consulting with Celonis
November 2022
This course explored what the management of tomorrow will look like in a world that is more digitised than ever. Celonis helps organisations track their internal processes based on digital footprints in IT systems. Celonis is the market leader for Executive Management Technology with customers like Unilever, Coca Cola and BMW. Celonis uses Process Mining technology as well as different Artificial Intelligence and Machine Learning capabilities to reveal insights and to provide direct recommendations.
In this Mastercourse students discovered trends in Digital Transformation and Data Driven Management and how process-oriented data science can facilitate an analytical viewpoint within organisations. Furthermore they gained business user skills in Celonis software to understand how to use it in a management consulting context.
Content Overview
· Week 1: Kick-Off Workshop (live); Start of Online Training with Theory Introduction to Process Mining and Celonis Software Training
· Week 2: Online Learning: Celonis Software Training; Introduction to Business Case “Pizzeria Mamma Mia” (online)
· Week 3: Online Learning: Deadline for Business Case Pizzeria Mamma Mia (online), Process Mining and Prediction
Careers in Data Science
Moving from talk to practicalities - fairness in machine learning
10 November 2022
Principles for the development of fair machine learning systems are now widespread, however what a development team actually has to do to get things moving is often still unclear. Former students consistently note that becoming aware of this was key to becoming employable.
This session will dive into some of the practical considerations surrounding the application of fairness, and how society should build trust and understanding of machine learning and other AI elements. The event will provide attendees more understanding of what companies might do to move the needle on this topic.
In an open and informal atmosphere, with refreshments provided, LSE students will become aware of why the practical application of fairness is a key component in moving the conversation forward in how we can use trustworthy AI to reduce risk. This will directly benefit them as they map future careers.
Speaker: Luke Vilain, Data Ethics Senior Manager at Lloyds Banking Group
LSE Careers Industry-led Skills Seminar: Digital business models and value creation with Ommax
Wednesday 26 October (15:00 - 16:30)
OMMAX is a leading digital strategy consultancy - in this skills seminar, you'll have the chance to learn about digital business models, digital due diligence, and value creation through an interactive session with their team which will include LSE alumni.
Get hands-on knowledge and experience and find out what a career in digital strategy consulting really looks like.
Careers in Data Science
Data science for management consultancy
20 October 2022
Data science management consulting is a fast-growing sector - but also one that is commonly misunderstood. What is a data science consultant and how do you become one? How is data science being used to help drive businesses innovate and grow?
Our speakers include an experienced professional an a recent LSE graduate. They will offer different, complimentary perspectives on these topics and will be able to provide invaluable insights for current LSE students as they plan a career in this and related sectors.
These events are held in a relaxed atmosphere with refreshments provided to encourage conversations and opportunities for networking. The chance to ask questions and gain advantageous insight makes this event unmissable for any LSE student interested in pursuing a career in data science.
Speakers: Mads Frank, Manager - Behavioural And Data Science for Talent & Organization at Accenture; Priyal Haria, Junior Consultant at Ekimetrics; Marta Bárcena Rodríguez, Junior Consultant at Ekimetrics.
LSE Careers Industry-led Skills Seminar: Digital health- a people's lives game changer with Novo Nordisk
Wednesday 12 October (13:00 - 14:30)
The seminar starts with a short introduction to digital health and its relevance for the future of healthcare, understood in wide terms: public, private, and as an industry. Recommended readings will be sent beforehand and understanding of some basic concepts for patient care journey is advisable for an easy facilitation during the workshop.
After the provided context, the business case will be presented: challenge is to propose digital solutions from the patients’, and healthcare practitioners’ (doctors, nurses, etc.) perspective. The case deals with the treatment of a chronic disease. 6 groups in total will spar their potential solutions; from both perspectives and present a pitch of 5 minutes with the focus being on the logic behind their proposal, expected results, and plausible pitfalls. At least 2 groups will have to work on any of the 3 targeted stages of the patient journey: screening symptoms, early care initiation, and adherence to an effective treatment.
The presentations will be followed by a debrief and feedback from the organisers, with an open session to discuss learnings. The speakers will also highlight the skills relevant for the healthcare industry and the approach towards healthcare recruitment.
LSE Careers Industry-led Skills Seminar: Robotics & intelligent automation at Deloitte for non-tech careers (online)
Thursday 13 October (18:00 - 19:30)
This skills seminar is for people who are considering/ interested in a career in technology and/or Robotics. The Deloitte R&IA (Robotic & Intelligent Automation) team build robotic solutions for their clients so that humans can focus on other more complicated tasks. They will give an overview of what robotic process automation actually is and its key benefits, and discuss their approach in how hey deliver tech solutions to their clients which is an approach that is taken up industry wide in multiple countries for various tech sectors.
The team will give examples of some of their use cases and how they delivered solutions to world renowned clients.
Finally, at the end of the event for those who wish to stay they will discuss the roles we have available from September 2023 both technical and non-technical and how you can apply. There will be time for any questions and an individual from the team will share their contact details if you have any questions following the event.
LSE Careers Industry-led Skills Seminar: Careers in tech for non-tech students panel
Thursday 6 October (18:00 - 19:00)
This panel is designed to support you to develop your knowledge of career options in the technology sector, without having a computer science or other tech-related degree.
It brings together LSE alumni from across a wide range of careers in tech to discuss their careers, the opportunities available, and the challenges they've met. You will also be able to explore the tech sector, its main stakeholder, its challenges and trends, as well as the skills required.
Panellists:
Christian Laffin, Product Manager at Sysdig
Graduated from LSE in 2015 with a BSc in Social Policy. Started my career in the UK government, joining the Civil Service Fast Stream, specifically the Digital and Technology stream, and then took a permanent role. During my time in government, I worked on several major digital transformation programmes across borders, immigration, national security, tax and benefits. After nearly 6 years in central government, I decided it was time for a different challenge and joined Wise, a fintech based here in London as Product Manager for their cloud infrastructure, though in the last few months joined Sysdig, a US-based cloud security startup as Product Manager.
Dylan Shaw, Regional Programme Manager at Google
Working in political and security risk roles in London after graduating LSE with a BSC in IR & Modern History in 2015, Dylan joined Uber during its acceleration phase and performed various security risk management roles across EMEA. He helped prepare his department for the company’s largest business acquisition and for its initial public offering, and helped support rapid geographic and business growth in the region. He completed an MSc. from UCL during this time. Dylan has now joined Google in 2021 to develop novel and innovative security programmes across EMEA & APAC.
Johannes Svanberg, Technology Strategy Consultant at Accenture
Johannes is currently a Senior Technology Strategy Consultant at Accenture. He advises C-suite and global leadership teams of FTSE 100 and S&P 500 on their digital strategy. He has also developed extensive experience as a programme director where he has led multiple complex digital transformation programmes across various sectors. In addition to his consulting role, he is the fintech lead for Accenture Ventures. (corporate VC arm)
Prior to Accenture, Johannes worked at Infosys as a Senior Consultant in CIO Advisory and at Boston Consulting Group (BCG) as an Analyst within the Capital Markets team. Johannes started his career in sales & trading at a bulge bracket bank and a fintech. He holds an MSc in Economic History from LSE (‘17).
Constanze Salzmann, Director Digital Strategy at OMMAX
Constanze is leading digital due diligence projects and customer projects with a focus on digital strategy development for national and international clients, e.g. KKR, EQT, Afinum Management, and Gilde Buy Out Partners. Prior to OMMAX, she worked for strategy consultants EY-Parthenon and held previous roles in financial advisory. Constanze holds an MSc and BSc in Business Administration and Engineering from Technical University Munich with a specialism in Finance and Accounting.
Panel chaired by Nedelin Velikov from the LSE Digital Skills Lab.